Ruyuan Wan
Adriana Alvarado Garcia
Devansh Saxena
Haiyi Zhu
Karla Badillo-Urquiola
ABSTRACT
The increasing integration of AI and data-driven technologies in various sectors of society presents both opportunities and challenges, particularly regarding ethical, fair, and inclusive applications. This one-day workshop aims to convene researchers, practitioners, policymakers, and other community members to explore the complexities of community-driven AI with the aim to promote responsible and sustainable practices in the AI ecosystem. Drawing on interdisciplinary perspectives, participants will engage in discussions focused on themes such as understanding stakeholder relationships and positions in AI systems, evaluating community impact in AI ecosystems, examining policy and intervention implications, and devising strategies for effective partnership and collaboration with communities. The workshop will provide a platform for sharing experiences, exchanging ideas, and fostering long-lasting collaborations. By collectively addressing the challenges and opportunities in community-driven AI, we aspire to build an active community that supports ethical, inclusive, and sustainable AI-driven solutions, empowering communities in an increasingly data-driven world.
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- Xavier V Caddle, Nurun Naher, Zachary P Miller, Karla Badillo-Urquiola, and Pamela J Wisniewski. 2023. Duty to Respond: The Challenges Social Service Providers Face When Charged With Keeping Youth Safe Online. Proceedings of the ACM on Human-Computer Interaction 7, GROUP (2023), 1–35.Google Scholar
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- Michael Katell, Meg Young, Dharma Dailey, Bernease Herman, Vivian Guetler, Aaron Tam, Corinne Bintz, Daniella Raz, and P. M. Krafft. 2020. Toward Situated Interventions for Algorithmic Equity: Lessons from the Field. In Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (Barcelona, Spain) (FAT* ’20). Association for Computing Machinery, New York, NY, USA, 45–55. https://doi.org/10.1145/3351095.3372874Google ScholarDigital Library
- Anna Kawakami, Venkatesh Sivaraman, Logan Stapleton, Hao-Fei Cheng, Adam Perer, Zhiwei Steven Wu, Haiyi Zhu, and Kenneth Holstein. 2022. “Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts. In Designing Interactive Systems Conference. 454–470.Google Scholar
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- Meng-Chieh Lee, Catalina Vajiac, Aayushi Kulshrestha, Sacha Levy, Namyong Park, Cara Jones, Reihaneh Rabbany, and Christos Faloutsos. 2021. InfoShield: Generalizable information-theoretic human-trafficking detection. In 2021 IEEE 37th International Conference on Data Engineering (ICDE). IEEE, 1116–1127.Google ScholarCross Ref
- Afsaneh Razi, Karla Badillo-Urquiola, and Pamela J Wisniewski. 2020. Let’s talk about sext: How adolescents seek support and advice about their online sexual experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarDigital Library
- Devansh Saxena, Karla Badillo-Urquiola, Pamela J Wisniewski, and Shion Guha. 2020. A human-centered review of algorithms used within the us child welfare system. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–15.Google ScholarDigital Library
- Devansh Saxena, Karla Badillo-Urquiola, Pamela J Wisniewski, and Shion Guha. 2021. A framework of high-stakes algorithmic decision-making for the public sector developed through a case study of child-welfare. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021), 1–41.Google ScholarDigital Library
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- Logan Stapleton, Devansh Saxena, Anna Kawakami, Tonya Nguyen, Asbjørn Ammitzbøll Flügge, Motahhare Eslami, Naja Holten Møller, Min Kyung Lee, Shion Guha, Kenneth Holstein, and Haiyi Zhu. 2022. Who Has an Interest in “Public Interest Technology”?: Critical Questions for Working with Local Governments &; Impacted Communities. In Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (Virtual Event, Taiwan) (CSCW’22 Companion). Association for Computing Machinery, New York, NY, USA, 282–286. https://doi.org/10.1145/3500868.3560484Google ScholarDigital Library
- Catalina Vajiac, Andreas Olligschlaeger, Yifei Li, Pratheeksha Nair, Meng-Chieh Lee, Namyong Park, Reihaneh Rabbany, Duen Horng Chau, and Christos Faloutsos. 2021. Trafficvis: Fighting human trafficking through visualization. Poster, IEEE VIS 2 (2021).Google Scholar
- Ruyuan Wan and Karla Badillo-Urquiola. 2023. Control and Resistance: The Dynamic Interplay of Censorship and Circumvention. Available at SSRN 4381894 (2023).Google Scholar
- Douglas Zytko, Pamela J. Wisniewski, Shion Guha, Eric P. S. Baumer, and Min Kyung Lee. 2022. Participatory Design of AI Systems: Opportunities and Challenges Across Diverse Users, Relationships, and Application Domains. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 154, 4 pages. https://doi.org/10.1145/3491101.3516506Google ScholarDigital Library
Index Terms
- Community-driven AI: Empowering people through responsible data-driven decision-making
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